Deep Reinforcement Learning for Target Searching in Cognitive Electronic Warfare
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Ming Diao | Lipeng Gao | Shixun You | M. Diao | Lipeng Gao | Shixun You
[1] Marc Peter Deisenroth,et al. Deep Reinforcement Learning: A Brief Survey , 2017, IEEE Signal Processing Magazine.
[2] John Kenneth Salisbury,et al. Learning to represent haptic feedback for partially-observable tasks , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[3] Razvan Pascanu,et al. Imagination-Augmented Agents for Deep Reinforcement Learning , 2017, NIPS.
[4] Sanguk Noh,et al. Intelligent command and control agent in electronic warfare settings , 2010 .
[5] Zhuang Yi,et al. IIGA based algorithm for cooperative jamming resource allocation , 2009, 2009 Asia Pacific Conference on Postgraduate Research in Microelectronics & Electronics (PrimeAsia).
[6] W. Marsden. I and J , 2012 .
[7] Luis Felipe Gonzalez,et al. Enabling UAV Navigation with Sensor and Environmental Uncertainty in Cluttered and GPS-Denied Environments , 2016, Sensors.
[8] Shuzhi Sam Ge,et al. Dynamic Motion Planning for Mobile Robots Using Potential Field Method , 2002, Auton. Robots.
[9] Ming Diao,et al. Real-Time Path Planning Based on the Situation Space of UCAVs in a Dynamic Environment , 2018, Microgravity Science and Technology.
[10] Hugh F. Durrant-Whyte,et al. Dynamic space reconfiguration for Bayesian search and tracking with moving targets , 2008, Auton. Robots.
[11] Delin Luo,et al. Path planning for a reconnaissance UAV in uncertain environment , 2016, 2016 12th IEEE International Conference on Control and Automation (ICCA).
[12] Halit Ergezer,et al. 3D path planning for UAVs for maximum information collection , 2013, 2013 International Conference on Unmanned Aircraft Systems (ICUAS).
[13] Razvan Pascanu,et al. Vector-based navigation using grid-like representations in artificial agents , 2018, Nature.
[14] O. Hallingstad,et al. Bayesian Terrain-Based Underwater Navigation Using an Improved State-Space Model , 2007, 2007 Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies.
[15] Stephen Tyree,et al. Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU , 2016, ICLR.
[16] Olivier Buffet,et al. The factored policy-gradient planner , 2009, Artif. Intell..
[17] Xuyan Tu,et al. Research on autonomous control system structure of UCAV based on cognitive science , 2009, 2009 IEEE International Conference on Network Infrastructure and Digital Content.
[18] Paolo Braca,et al. Cognitive multistatic AUV networks , 2014, 17th International Conference on Information Fusion (FUSION).
[19] Sergey Levine,et al. Trust Region Policy Optimization , 2015, ICML.
[20] Pan Wei,et al. Research on force assignment for ground-to-air radar jamming system based on chaos genetic algorithms , 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).
[21] Shane Legg,et al. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures , 2018, ICML.
[22] Honglak Lee,et al. Control of Memory, Active Perception, and Action in Minecraft , 2016, ICML.
[23] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[24] Pieter Abbeel,et al. Benchmarking Deep Reinforcement Learning for Continuous Control , 2016, ICML.
[25] G Nagendra Rao,et al. Trends in Electronic Warfare , 2003 .
[26] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[27] Fuh-Gwo Yuan,et al. A 3D collision avoidance strategy for UAV with physical constraints , 2016 .
[28] Ali Hamzeh,et al. A PSO-based multi-robot cooperation method for target searching in unknown environments , 2016, Neurocomputing.
[29] Ting Jiang,et al. Using Fuzzy Cognitive Maps to Analyze the Information Processing Model of Situation Awareness , 2014, 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics.
[30] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[31] Glen Berseth,et al. DeepLoco , 2017, ACM Trans. Graph..
[32] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[33] David Silver,et al. Deep Reinforcement Learning with Double Q-Learning , 2015, AAAI.
[34] Mark A. Neerincx,et al. Adaptive Automation Based on an Object-Oriented Task Model: Implementation and Evaluation in a Realistic C2 Environment , 2010 .
[35] Guy Lever,et al. Deterministic Policy Gradient Algorithms , 2014, ICML.
[36] W. P. du Plessis,et al. Threat evaluation and jamming allocation , 2017 .
[37] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[38] Yuval Tassa,et al. Continuous control with deep reinforcement learning , 2015, ICLR.
[39] Sergey Levine,et al. Continuous Deep Q-Learning with Model-based Acceleration , 2016, ICML.
[40] Joel W. Burdick,et al. Analysis of Search Decision Making Using Probabilistic Search Strategies , 2012, IEEE Transactions on Robotics.
[41] Charles F. Gaumond,et al. Deep reinforcement learning for cognitive sonar , 2018 .